Canon kabushiki kaisha (20240212305). IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract
IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Ryosuke Tsuji of Kanagawa (JP)
IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212305 titled 'IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
The abstract describes an imaging system that utilizes a neural network for object detection.
- Training data inputting unit inputs data for object detection training.
- Network structure designation unit restricts the network structure for object detection.
- Dictionary generation unit creates dictionary data based on training data and network structure restrictions.
- Imaging device performs object detection using the generated dictionary data and controls imaging of detected objects.
Potential Applications: - Surveillance systems - Autonomous vehicles - Medical imaging - Quality control in manufacturing - Robotics
Problems Solved: - Efficient object detection - Improved accuracy in identifying objects - Streamlined imaging processes
Benefits: - Enhanced security measures - Increased efficiency in various industries - Advanced automation capabilities - Higher accuracy in object recognition - Improved decision-making processes
Commercial Applications: Title: "Advanced Object Detection System for Enhanced Imaging" This technology can be used in security systems, autonomous vehicles, medical imaging devices, manufacturing processes, and robotics, offering improved object detection and imaging capabilities.
Questions about the technology: 1. How does the neural network improve object detection accuracy? - The neural network processes data to recognize patterns and features, leading to more accurate object detection. 2. What are the potential limitations of using a neural network for object detection? - Some challenges may include the need for extensive training data and computational resources.
Original Abstract Submitted
an imaging system that performs object detection on the basis of a neural network includes: training data inputting unit configured to input training data for the object detection; network structure designation unit configured to designate a restriction of a network structure in the object detection; dictionary generation unit configured to generate dictionary data for the object detection on the basis of the training data and the restriction of the network structure; and an imaging device configured to perform the object detection on the basis of the dictionary data generated by the dictionary generation unit and performs predetermined imaging control on an object detected through the object detection.
